TY - BOOK
T1 - Evaluating the Cloud for Capability Class Leadership Workloads
AU - Lange, Jack
AU - Papatheodore, Thomas
AU - Thomas, Todd
AU - Effler, Chad
AU - Haun, Aaron
AU - Cunningham, Carlos
AU - Fenske, Kyle
AU - Ferreira da Silva, Rafael
AU - Maheshwari, Ketan
AU - Yin, Junqi
AU - Dash, Sajal
AU - Eisenbach, Markus
AU - Hagerty, Nick
AU - Joo, Balint
AU - Holmen, John
AU - Norman, Matthew
AU - Dietz, Dan
AU - Beck, Tom
AU - Oral, Sarp
AU - Atchley, Scott
AU - Roth, Philip
PY - 2023
Y1 - 2023
N2 - Cloud platforms offer a variety of benefits that are very appealing for a large scale HPC facility with a diverse and dynamic user base and workload set. At the same time, there is cause for concern about transitioning to the cloud. Incorporating cloud resources into existing HPC facilities or even fully transitioning to a cloud deployment poses significant challenges at the technical, organizational, and economic levels. Regardless, based on current trends it is highly likely that cloud platforms will become an integral component of many HPC centers in some form. To gain a better understanding of both the limitations and capabilities of current cloud infrastructures we evaluated the public offerings of the three leading cloud platforms (Amazon Web Services, Microsoft Azure, and Google Cloud Platform) using a selection of representative application workloads from our facility. Our findings show that while current HPC offerings are still nascent, significant progress is being made to address the present shortcomings. At the same time, significant challenges and questions remain about whether HPC cloud offerings will be able to deliver the full range of expected benefits.
AB - Cloud platforms offer a variety of benefits that are very appealing for a large scale HPC facility with a diverse and dynamic user base and workload set. At the same time, there is cause for concern about transitioning to the cloud. Incorporating cloud resources into existing HPC facilities or even fully transitioning to a cloud deployment poses significant challenges at the technical, organizational, and economic levels. Regardless, based on current trends it is highly likely that cloud platforms will become an integral component of many HPC centers in some form. To gain a better understanding of both the limitations and capabilities of current cloud infrastructures we evaluated the public offerings of the three leading cloud platforms (Amazon Web Services, Microsoft Azure, and Google Cloud Platform) using a selection of representative application workloads from our facility. Our findings show that while current HPC offerings are still nascent, significant progress is being made to address the present shortcomings. At the same time, significant challenges and questions remain about whether HPC cloud offerings will be able to deliver the full range of expected benefits.
KW - 97 MATHEMATICS AND COMPUTING
U2 - 10.2172/2000306
DO - 10.2172/2000306
M3 - Commissioned report
BT - Evaluating the Cloud for Capability Class Leadership Workloads
CY - United States
ER -